AI Governance - Page 2
AI Governance refers to the structures, principles, and processes that guide the development, deployment, and use of artificial intelligence systems. It encompasses the ethical, legal, and technical frameworks designed to ensure that AI technologies are developed and used responsibly, transparently, and accountably. AI Governance aims to mitigate risks associated with AI, such as bias, discrimination, privacy violations, and security concerns. It involves stakeholders from various sectors, including government, industry, academia, and civil society, working together to create standards, policies, and regulations. Effective AI Governance seeks to balance innovation in AI with the protection of individual rights and public interests, fostering trust and ensuring that AI systems align with societal values and ethical norms.
